Software Engineer, Infrastructure at Scaled Cognition (New York, NY)
Scaled Cognition· New York, NY·
Role details
Summary
Design and improve inference infrastructure for AI models, benchmarking and monitoring latency and throughput. Collaborate with research scientists and product engineers to streamline the end-to-end process from model development to production deployment on major cloud platforms.
Job description
Scaled Cognition is the world’s only model lab dedicated exclusively to customer experience and pioneering agentic models purpose-built for reliable action-taking enterprise applications. Backed by Khosla Ventures, the company’s flagship Agentic Pretrained Transformer (APT) eliminates hallucinations, enforces enterprise policies and increases reliability in real-world CX workflows. Founded by serial AI entrepreneurs, former Microsoft Corporate Vice President of Conversational AI Dan Roth, and UC Berkeley AI Professor Dan Klein, and built by a team of world-class PhD researchers and engineers, Scaled Cognition advances the science of agentic AI to deliver safe, policy-aligned automation that enterprises can trust. As a Software Engineer, Infrastructure at Scaled Cognition you will:
- Design and improve inference infrastructure that powers our AI models.
- Benchmark, profile, monitor and analyze latency and throughput and drive improvements throughout the stack.
- Collaborate with research scientists and product engineers to streamline the end-to-end process from model development to production deployment.
You might be the right person for the job if you:
- Are a continuous learner and are eager to explore new tools and technologies.
- Thrive in a dynamic environment and are comfortable adapting to changing priorities while maintaining a focus on delivering high-quality solutions.
- Have successfully navigated projects with significant product and technical ambiguity, and you excel at the intersection of complex technical challenges and user-focused solutions.
Key Qualifications:
- Experience deploying systems on major cloud platforms (AWS, GCP, Azure).
- Prior experience designing and implementing GPU infrastructure / tooling.
- A strong sense for scalability and developing secure, highly reliable environments.
Why work at Scaled Cognition
- Mission‑driven culture: Building “Super‑Reliable Intelligence” that enterprises can trust – a defining challenge in the current AI era.
- Scientific rigor + startup velocity: Described as “no bureaucracy, no ego – just hard problems and the people solving them”; a bias for action and iterative shipping.
- Top‑tier team: Colleagues from leading AI labs (Microsoft, Google, Amazon, Meta) and universities; deep research culture integrated with product engineering.
- Flexible work: Roles based in Los Angeles and Mountain View; likely hybrid/on‑site given location requirements on careers page.
- Growth opportunity: Rapidly scaling company (61% employee growth YoY) with open roles across multiple functions, offering impact on foundational AI for enterprise.
- Perks: Not detailed, but emphasis on ownership of your work, direct impact on the product, and the chance to shape the future of enterprise AI.